Claiming to be able to recreate the capabilities of
the human mind, is both a challenge and an
inspiration for philosophy.
• It is the science and engineering of making
intelligent machines, especially intelligent
4. Are there limits to how intelligent
machines can be?
“the capacity to learn and solve problems”
◦ Artificial intelligence (AI) is
the intelligence of machines and robots
and the branch of computer science that
aims to create it
the ability to solve problems
the ability to act rationally
the ability to act like humans
5. Philosophy of A.I.
Searle's strong AI hypothesis:
programmed computer with
the right inputs & outputs
would thereby have a mind in
exactly the same sense
human beings have minds."
The artificial brain argument:
The brain can be simulated.
Technologically feasible to
copy the brain directly into
hardware and software, and
that such a simulation will be
essentially identical to the
6. History of artificial intelligence
Programmable Digital Computers
• McCulloch & Pitts: Boolean circuit model of
• Dartmouth meeting: "Artificial Intelligence“
The golden years 1956−1974
7. 1986-- Rise of machine learning
◦ Neural networks return to popularity
◦ Major advances in machine learning
algorithms and applications
1995-- AI as Science
◦ Integration of learning, reasoning,
◦ AI methods used in vision, language, data
8. 2006: face recognition software
available in consumer cameras
2003-2007 Robot driving: DARPA
Feb 2011 there came question
10. How complicated is our brain?
◦ 10 12 neurons in a human brain
◦ many more synapses (10 14) connecting these
◦ cycle time: 10 -3 seconds (1 millisecond)
Howcomplex can we make
◦ 108 or more transistors per CPU
◦ supercomputer: hundreds of CPUs, 1012 bits of
◦ cycle times: order of 10 - 9 seconds
12. LISP (Introduction)
Lisp is a family of computer
programming languages with a long
history and a distinctive, fully
parenthesized Polish prefix
The name LISP derives from "List
Processing". Linked lists are one of
Lisp languages' major data
structures, and Lisp source code is
itself made up of lists. As a result,
Lisp programs can manipulate
source code as a data structure,
giving rise to the macro systems
that allow programmers to create
new syntax or even new domain-
specific languages embedded in
13. LISP (Syntax & Semantics)
Lisp is an expression-oriented language.
Unlike most other languages, no distinction is
made between "expressions" and
"statements"; all code and data are written as
expressions. McCarthy's 1958 paper
introduced two types of syntax:
S-expressions (Symbolic expressions)
(car (cons A B))
M-expressions (Meta Expressions)
14. LISP connection to A.I.
LISP is an important language for artificial
LISP programs define how to perform an
algorithm on the expressions.
Frames, networks and objects are
responsible for LISP’s popularity in the AI
Lisp is widely used in implementing the
tools of Artificial Intelligence.
15. PROLOG (Introduction)
Prolog is a general purpose logic programming language
associated with AI and computational linguistics.
Prolog has its roots in first-order and formal logic. It
is declarative and expressed in terms of relations,
represented as facts and rules.
16. PROLOG (Syntax &
In Prolog, program logic is expressed in terms of
relations, and a computation is initiated by running a
query over these relations.
In syntax and semantics following are considered:
Rules and facts
17. PROLOG (Data Types)
An atom, whose meanings is not defined.
Numbers can be floats or integers.
Variables are strings consisting of letters, numbers and
underscore characters, and beginning with an upper-case
letter or underscore(_).
Functional language Logical language
General purpose Specific uses
Handles wide variety of tasks, easier
Smaller language, easier to learn
Dn’t support compared to prolog Supports multidirectional reasoning
23. Speech Recognition
Process of converting sound signal
captured by microphone or
mobile/telephone to a set of words.
70-100 words / min with accuracy of
24. Computer Vision
Ability of a machine to extract
information from an image that is
necessary to solve a task
25. Intelligent Robot
Tend to mimic
making abilities so
that they can adopt
and modify their
26. Expert Systems
Softwares used for
decision making .
27. Artificial Intelligence the need of
"Many thousands of AI applications
are deeply embedded in the
infrastructure of every industry."
The late 90s and early 21st century, AI
technology became widely used as
elements of larger systems, but the
field is rarely credited for these
28. Fields of AI
Graphical User Interface
Automatic Storage management
Object Oriented Programming
Automated Online Assistants
29. Fields of AI
Aviation & Automation:
NASA's fight research
Voice recognition in fighter
Directions to A.I pilots
through air traffic
Automatic Gearing System
30. Fields of AI
31. Daily life applications
Home Security News and
Post office Financial trades
Websites Health and
Digital cameras medicine
Games and toys
32. How AI is different????????
Artificial Intelligence Natural Intelligence
Non Creative Creative
Precise May Contain Error
Consistency Non Consistent
Multitasking Can’t Handle
33. Drawbacks of A.I
Slow Real Time